{"id":"https://openalex.org/W3002123144","doi":"https://doi.org/10.1109/access.2020.2969205","title":"Multi-Modal Sentiment Classification With Independent and Interactive Knowledge via Semi-Supervised Learning","display_name":"Multi-Modal Sentiment Classification With Independent and Interactive Knowledge via Semi-Supervised Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3002123144","doi":"https://doi.org/10.1109/access.2020.2969205","mag":"3002123144"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2969205","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2969205","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08968422.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08968422.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115603674","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-8948-2856"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003885809","display_name":"Shoushan Li","orcid":"https://orcid.org/0000-0002-1000-3278"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoushan Li","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102065469","display_name":"Qiaoming Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012794465","display_name":"Guodong Zhou","orcid":"https://orcid.org/0000-0002-7887-5099"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115603674"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5825,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91527511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"22945","last_page":"22954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7807354927062988},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6551029086112976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421193480491638},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5408653616905212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47824588418006897},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4399663507938385},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3940852880477905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33918264508247375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807354927062988},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6551029086112976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421193480491638},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5408653616905212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47824588418006897},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4399663507938385},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3940852880477905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33918264508247375},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2969205","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2969205","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08968422.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c335cfd988cc44dab279c2285e726ca0","is_oa":true,"landing_page_url":"https://doaj.org/article/c335cfd988cc44dab279c2285e726ca0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 22945-22954 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2969205","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2969205","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08968422.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2330337667","display_name":null,"funder_award_id":"61702149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3561341673","display_name":null,"funder_award_id":"61836007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G936461041","display_name":null,"funder_award_id":"61672366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3002123144.pdf","grobid_xml":"https://content.openalex.org/works/W3002123144.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W561095198","https://openalex.org/W1522301498","https://openalex.org/W1810943226","https://openalex.org/W1909320841","https://openalex.org/W1948566616","https://openalex.org/W2016730668","https://openalex.org/W2029996593","https://openalex.org/W2095176743","https://openalex.org/W2108501770","https://openalex.org/W2109020278","https://openalex.org/W2123442489","https://openalex.org/W2250539671","https://openalex.org/W2250962852","https://openalex.org/W2251394420","https://openalex.org/W2251850487","https://openalex.org/W2251939518","https://openalex.org/W2275625487","https://openalex.org/W2345837149","https://openalex.org/W2397375888","https://openalex.org/W2403257023","https://openalex.org/W2465534249","https://openalex.org/W2556418146","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2594524198","https://openalex.org/W2787581402","https://openalex.org/W2883409523","https://openalex.org/W2942831497","https://openalex.org/W2946165673","https://openalex.org/W2949416428","https://openalex.org/W2954345346","https://openalex.org/W2962718314","https://openalex.org/W2962883855","https://openalex.org/W2962897886","https://openalex.org/W2963710346","https://openalex.org/W2963858765","https://openalex.org/W2964010806","https://openalex.org/W2964260444","https://openalex.org/W2964266095","https://openalex.org/W2994718079","https://openalex.org/W4232478844","https://openalex.org/W6623987585","https://openalex.org/W6631190155","https://openalex.org/W6638273328","https://openalex.org/W6639732818","https://openalex.org/W6675944832","https://openalex.org/W6691459498","https://openalex.org/W6694627246","https://openalex.org/W6719667659","https://openalex.org/W6748551036","https://openalex.org/W6748726628","https://openalex.org/W6753277404","https://openalex.org/W6766570797"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W2513638114","https://openalex.org/W4390062853","https://openalex.org/W2340127552","https://openalex.org/W4389256085","https://openalex.org/W3210156800","https://openalex.org/W3033485676"],"abstract_inverted_index":{"Multi-modal":[0],"sentiment":[1,8,22,50,74,108],"analysis":[2,9],"extends":[3],"conventional":[4],"text-based":[5],"definition":[6],"of":[7,101],"to":[10,20,43,59,65,106],"a":[11],"multi-modal":[12,30,49,73,107],"setup":[13],"where":[14],"multiple":[15],"relevant":[16],"modalities":[17],"are":[18],"leveraged":[19],"perform":[21],"analysis.":[23,75],"In":[24,38],"real":[25],"applications,":[26],"however,":[27],"acquiring":[28],"annotated":[29],"data":[31,71],"is":[32,58],"normally":[33],"labor":[34],"expensive":[35],"and":[36,88],"time-consuming.":[37],"this":[39],"paper,":[40],"we":[41],"aim":[42],"reduce":[44],"the":[45,61,77,82,89,98,102],"annotation":[46],"effort":[47],"for":[48,72],"classification":[51],"via":[52],"semi-supervised":[53,62,104],"learning.":[54],"The":[55],"key":[56],"idea":[57],"leverage":[60],"variational":[63],"autoencoders":[64],"mine":[66],"more":[67],"information":[68,79],"from":[69],"unlabeled":[70],"Specifically,":[76],"mined":[78],"includes":[80],"both":[81],"independent":[83],"knowledge":[84,91],"within":[85],"single":[86],"modality":[87],"interactive":[90],"among":[92],"different":[93],"modalities.":[94],"Empirical":[95],"evaluation":[96],"demonstrates":[97],"great":[99],"effectiveness":[100],"proposed":[103],"approach":[105],"classification.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}